Workshop Program

BSMDMA Workshop @ IEEE BigData 2018

Location: ORCAS - 3rd Floor at Westin Seattle

Date: Monday, December 10, 2018

08:50~10:00 Opening
Keynote Talk: Understanding Society as a Network
by Michele Coscia, IT University of Copenhagen
10:00~10:20 Coffee Break
10:20~12:00 Section I (Session Chair: Wei-Lun Chang)
[1] Do the Communities We Choose Shape our Political Beliefs? A Study of the Politicization of Topics in Online Social Groups. Benjamin Kane and Jiebo Luo.
[2] Characterizing Twitter Users: What do Samantha Cristoforetti, Barack Obama and Britney Spears Have in Common? Alessia Antelmi, Delfina Malandrino, and Vittorio Scarano.
[3] Social Interaction Model. Benjamin Flesch.
[4] Islands of Interest: Mining Concentrations of User Search Intent over e-Commerce Product Categories. Neeraj Pradhan, Vinay Deolalikar, and Deependra Singh.
[5] SMERC: social media event response clustering using textual and temporal information. Peter Mathews, Caitlin Gray, Lewis Mitchell, Giang Nguyen, and Nigel Bean.
[6] Will Sentiments in Comments Influence Online Video Popularity? Wei-Lun Chang.
12:00~13:50 Lunch Break
13:50~15:30 Section II (Session Chair: Tommy Dang)
[7] Harnessing the Nature of Spam in Scalable Online Social Spam Detection. Hailu Xu, Boyuan Guan, Pinchao Liu, William Escudero, and Liting Hu.
[8] Is Data Collection through Twitter Streaming API Useful for Academic Research? Alina Campan, Tobel Atnafu, Traian Marius Truta, and Joseph Nolan.
[9] Unsupervised domain-agnostic identification of product names in social media posts. Nicolai Pogrebnyakov.
[10] HealthTvizer: Exploring Health Awareness in Twitter Data through Coordinated Multiple Views. Tommy Dang, Ngan V.T. Nguyen, and Vung Pham.
[11] Attributed Multi-layer Network Embedding. Zhongyue Pei, Xi Zhang, Fangwei Zhang, and Binxing Fang.
15:30~15:50 Coffee Break
15:50~17:30 Section III (Session Chair: Anoop Kumar)
[12] Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. Niklas Stoehr, Johannes Meyer, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li, and Volker Markl.
[13] Landmark Seasonal Travel Distribution and Activity Prediction Based on Language-specific Analysis. Siya Bao, Masao Yanagisawa, and Nozomu Togawa.
[14] Influence of online news features on user behavior for new media. Hsiao-Wei Hu, Yuan-Kuang Tsay, and Chi-Yuan Peng.
[15] Calibrating User Bias In Sentiment Estimation From Social Media. Anoop Kumar and Sara Kangaslahti.
[16] SMAS: An Investor-oriented Social Media Analysis System for Movies. Zheng Liu, Kejia Chen, Yanwen Qu, Shuting Guo, Chiyu Liu, and Chengbin Jia.

Keynote Speaker

Speaker: Prof. Michele Coscia

(Assistant Professor, IT University of Copenhagen)


Understanding Society as a Network


How can we use data science and network science to understand society? In my talk I'll take one example -- the investigation on how governments work -- to showcase the various phases of the knowledge extraction process. I'll explain my contributions to the field in network backboning, data visualization, and network analysis, to answer the question: what do governments do?


Michele Coscia is an assistant prof at IT University of Copenhagen. He mainly works on algorithms for the analysis of complex networks, and on applying the extracted knowledge to a variety of problems. His background is in Digital Humanities. Michele has a PhD in Computer Science, obtained in June 2012 at the University of Pisa. In the past, he visited Barabasi's CCNR at Northeastern University, and worked for 6 years at CID, Harvard University.

Call for Papers

The rich proliferation of many social media platforms is widely by used people on smartphone devices all over the world. At the same time, the incremental data of online social networks (e.g., Facebook), microblogs (e.g., Twitter), multi-media sites (e.g., YouTube, Instagram) and user review sites (e.g., Yelp) are imposing new challenges for the efficient data management and analysis query processing. On one hand, online social networks are undergoing rapid changes, not only on the dynamic graph structure, but also in the new information of updating user profiles, new hashtags in posters, as well as breakthrough events. On the other hand, the size of social media data is becoming bigger and bigger due to, e.g., the explosion of new posters and also the massive amount of users. Utilizing new technologies for efficient handling big social media data management is of urgent importance. However, numerous essential issues in this area have yet to be explored, including data crawling and modeling, storage, indexes, querying and mining, privacy, and so on.

The 2018 International Workshop on Big Social Media Data Management and Analysis (BSMDMA2018) aims to provide a forum for presenting the most recent advances in most recent advances in data management and mining on online social media, related to web search and information retrieval, social network analysis, visualization and summarization, and network science. The BSMDMA2018 will be in conjunction with 2018 IEEE International Conference on Big Data (IEEE Big Data 2018) on December 10-13, 2018, Seattle, WA, USA. We are particularly interested in articles that address how to handle query processing on large-scale and dynamic social media data as well as their novel applications for social media platforms. Topics of interest include but are not limited to:

  • Social networks crawling
  • Community detection/search
  • Large-scale complex network analysis
  • Big graph management and mining
  • Keyword/microblog search
  • Text summarization
  • Social media analysis
  • Argumentation mining
  • Privacy-aware computing in social network
  • Social content processing
  • Role identification and relation analysis in social network
  • Querying and mining problems on location-based social networks
  • Evolution patterns in dynamics networks/graph streaming
  • Distributed graph query processing

Submission Guidelines

The workshop accepts poster papers (up to 6 pages) and full research papers (up to 10 pages). Paper submissions should be formatted according to the IEEE conference template. All submissions should clearly present the author information including the names of the authors, the affiliations and the emails. The review process is single-blinded. Papers must be submitted electronically as PDF files to BSMDMA2018 workshop at IEEE Big Data 2018 through CyberChair.

Submissions must be original (not previously published and not under review in other forums). Authors are advised to interpret these limitations strictly and to contact the organizers in case of doubt. Each accepted paper must be accompanied by at least one full registration, and an author is expected to present the paper at the conference, otherwise, the paper will be removed from the proceedings. All accepted papers will be EI-indexed.


General Co-Chairs

  • Jianliang Xu, Hong Kong Baptist University, Hong Kong
  • Francesco Bonchi, ISI Foundation, Italy

Program Co-Chairs

  • Rui Chen, Samsung Research, USA
  • Bolin Ding, Alibaba Group, USA
  • Xin Huang, Hong Kong Baptist University, Hong Kong
  • Lu Qin, University of Technology Sydney, Australia

​Program Committee

  • Cigdem Aslay, Aalto University, Finland
  • Wei Cai, The Chinese University of Hong Kong, Shenzhen, China
  • Xin Cao, The University of New South Wales, Australia
  • Wei-Lun Chang, Tamkang University, Taiwan
  • Lijun Chang, University of Sydney, Australia
  • Long Cheng, Nanyang Technological University, Singapore
  • Wei-Lun Chang, Tamkang University, Taiwan
  • Yixiang Fang, Hong Kong University, Hong Kong
  • Francesco Gullo, UniCredit, Italy
  • Takako Hashimoto, Chiba University of Commerce, Japan
  • Hsiao-Wei Hu, Fu-Jen Catholic University, Taiwan
  • Yunwen Lei, Southern University of Science and Technology, China
  • Cheng-Te Li, National Cheng Kung University, Taiwan
  • Ronghua Li, Beijing Institute of Technology, China
  • Sophie Li, Amazon, Canada
  • Yafei Li, Zhengzhou University, China
  • Han Liu, Hong Kong Polytechnic University, Hong Kong
  • Qing Liu, Hong Kong Baptist University, Hong Kong
  • Zheng Liu, Nanjing University of Posts and Telecommunications, China
  • Wei Lu, LinkedIn Corporation, USA
  • Yu Rong, Tencent AI Lab, China
  • Zechao Shang, University of Chicago, USA
  • Yunya Song, Hong Kong Baptist University, Hong Kong
  • Georgios Theodoropoulos, Southern University of Science and Technology, China
  • Yubao Wu, Georgia State University, USA
  • Yu Yang, Simon Fraser University, Canada
  • Jilian Zhang, Jinan University, China
  • Xiaofei Zhang, University of Waterloo, Canada
  • Zhiwei Zhang, Hong Kong Baptist University, Hong Kong
  • Yuanyuan Zhu, Wuhan University, China

Pervious Workshops

You can find more details of our previous workshop BSMDMA2017 .

Attending Conference

BSMDMA2018 is co-located with IEEE Big Data 2018, which will share information in attending the conference. Please check following important links before you plan your itinerary.

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